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application process here. About the position The Department of Information Security and Communication Technology invites applications for a fully funded PhD position on AI-driven network operations for cloud
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to move key AI applications from Cloud datacenters to Edge devices. In addition to reducing demand for datacenters, Edge AI also has the potential to improve upon Cloud AI by reducing latency and
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(i.e., an SFI ) in which NTNU, the University of Oslo, and key industry players work together towards developing the knowledge and technology required to move key AI applications from Cloud datacenters
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properties. Optical systems may provide excellent resolution on a cloud-free day. Synthetic aperture radars (SAR) deliver image products even through clouds, but they are expensive. Our main research question
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systems may provide excellent resolution on a cloud-free day. Synthetic aperture radars (SAR) deliver image products even through clouds, but they are expensive. Our main research question is: How can small
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cloud, enterprise domains, and edge locations close to data sources and users. For OT and IIoT, this raises fundamental systems questions: Where should AI-related components be placed (cloud, enterprise